Applying Multivariate Data Analysis as Objective Method for Calculating the Location Index for Use in Urban Tree Appraisal
Publication: Journal of Urban Planning and Development
Volume 137, Issue 3
Abstract
The urban canopy is a very valuable element in cities, and its environmental benefits are significant. It is very important for cities to assess adequately their canopy. An important part of its value is related to the tree number density according to the population density. The most commonly used methods for tree appraisal use subjective means to obtain the influence of location. A new methodology is developed in this work to obtain an objective location index. The proposed index gives a value to the tree according to its location in the city. A multiple regression model (function of the canopy density per inhabitant and the urban area percentage) is used to calculate the location index. The index has been calculated for the neighborhoods of the city of Santiago del Estero, Argentina, but can be applied to any city with objective variables, available from any local administration.
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Acknowledgments
The writer’s would like to thank Ms. Prudence Turner for the linguistic revision of the manuscript.
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Published In
Journal of Urban Planning and Development
Volume 137 • Issue 3 • September 2011
Pages: 230 - 237
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Dec 2, 2009
Accepted: Oct 1, 2010
Published online: Aug 15, 2011
Published in print: Sep 1, 2011
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